Key Responsibilities
Own end-to-end delivery, P&L;, and customer success across a portfolio of strategic accounts,

driving transformation, operational excellence, and sustainable growth
Lead contemporary engineering execution across web platforms, and native/cross-platform mobile

apps; drive composable and API-first architectures where appropriate.
Embed AI-assisted engineering into day-to-day delivery: define guardrails, workflows, and quality

gates for tools such as GitHub Copilot, Copilot Studio, Claude/LLM copilots, and automated code

review/testing assistants.
Operationalize agentic delivery patterns such as: multi-agent planning, coding, testing,

documentation, and operationalization to improve throughput and reduce defects while maintaining

security and compliance.
Establish governance constructs such as: Steering Committees, weekly status, Risk Assumptions

Issues and Dependencies, release readiness, etc. and drive transparency on risks, dependencies,

and decisions across onshore/offshore teams.
Drive customer-centric outcomes:



define success metrics (time-to-value, adoption, performance,

reliability) and connect technical delivery to business value.
Partner with sales & solutioning to scope solutions, contribute to proposals/SOWs, estimate

delivery plans, and identify AI-led accelerators to differentiate the offering.
Build and mentor teams of engineering leads, architects, scrum masters, QA, DevOps and

strengthen capabilities and foster a growth-setting through coaching, hiring, and upskilling in

AI and cloud-native practices.
Ensure engineering excellence: enforce standards for secure coding, accessibility, observability,

CI/CD, and production operations (SRE-minded delivery).

Technology & AI Focus Areas
Cloud-native: Microservices, container platforms (Docker/Kubernetes), serverless patterns, eventdriven

architectures; AWS/Azure/GCP.
Web & front-end: React/Next.js, Angular/Vue (as needed), TypeScript, design systems, comp

📌 Director Technology Bengaluru
🏢 Genpact
📍 Bengaluru